From Start-ups to Scale-ups: Opportunities and Open Problems for Static and Dynamic Program Analysis

M. Harman, P. O'Hearn
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引用次数: 124

Abstract

This paper describes some of the challenges and opportunities when deploying static and dynamic analysis at scale, drawing on the authors' experience with the Infer and Sapienz Technologies at Facebook, each of which started life as a research-led start-up that was subsequently deployed at scale, impacting billions of people worldwide. The paper identifies open problems that have yet to receive significant attention from the scientific community, yet which have potential for profound real world impact, formulating these as research questions that, we believe, are ripe for exploration and that would make excellent topics for research projects. Note: This paper accompanies the authors' joint keynote at the 18th IEEE International Working Conference on Source Code Analysis and Manipulation, September 23rd-24th, 2018 - Madrid, Spain.
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从初创企业到规模扩张:静态和动态规划分析的机遇和开放问题
本文描述了大规模部署静态和动态分析时的一些挑战和机遇,借鉴了作者在Facebook的Infer和Sapienz Technologies的经验,这两个公司都是从研究主导的初创企业开始的,随后被大规模部署,影响了全球数十亿人。这篇论文指出了尚未得到科学界重视的开放性问题,但这些问题有可能对现实世界产生深远的影响,我们认为这些研究问题已经成熟,可以进行探索,并将成为研究项目的优秀主题。注:本文与作者在2018年9月23日至24日在西班牙马德里举行的第18届IEEE源代码分析与操作国际工作会议上的联合主题演讲一起发表。
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